Release Notes

tinygp 0.2.3 (2022-10-31)

Features

• Removed deprecation warning from predict method and wrapped it in a jax.jit in order to support interactive use. (#120)

• Added check for sorted input coordinates when using the QuasisepSolver; a ValueError is thrown if they are not. (#123)

Bugfixes

• Fixed incorrect definition of observation_model for Celerite kernel. (#88)

• Fixed FutureWarning by updating tree_map to tree_util.tree_map. (#114)

• Fixed issue when tree structure and shape of X_test input to condition was incompatible with the initial input. (#119)

• Fixed bug where the gradient of the L2 distance would return NaN when the distance was zero. (#121)

• Fixed behavior of DotProduct kernel on scalar inputs. (#124)

tinygp 0.2.2 (2022-04-20)

Bugfixes

• Fixed dangling numpy operation in quasiseparable tree map. (#81)

tinygp 0.2.1 (2022-03-28)

Features

• Renamed elements of quasiseparable kernels, and added support for modeling derivative observations with these kernels. (#58)

• Added more flexible noise models: diagonal, banded, or dense. (#59)

• Added tinygp.kernels.quasisep.CARMA kernel to implement CARMA models. (#60)

• Added a minimal solver based on Kalman filtering to use as a baseline for checking the performance of the tinygp.solvers.QuasisepSolver. (#67)

Bugfixes

• Fixed exception when conditioning with quasiseparable solver, since quasisep kernels are not hashable. (#57)

Improved Documentation

• Added a new tutorial describing how to model multiband and derivative observations using quasiseparable kernels. (#58)

• Add more details to Deep Kernel learning tutorial, showing comparison with Matern-3/2 kernel and the transformed features. (#70)

tinygp 0.2.0 (2022-03-03)

Features

• Added new interface for conditioning GP models. condition method now returns a tinygp.GaussianProcess object describing the conditional distribution. (#32)

• Added new experimental scalable solver using quasiseparable matrices. See kernels.quasisep package, solvers.quasisep package, and tinygp.solvers.quasisep.solver.QuasisepSolver for more information. (#47)

Improved Documentation

• Updated benchmarks to include quasiseparable solver. (#49)

• Major overhaul of API documentation. Added many docstrings and expanded text thoughout the API docs pages. (#52)

• Added 3 new tutorials: (1) An Introduction to tinygp, giving a general introduction to tinygp, (2) Fitting a Mean Function, showing how tinygp can be used with a non-trivial mean function, and (3) Scalable GPs with Quasiseparable Kernels, introducing the scalable solver for quasiseparable kernels. (#54)

• Added support for towncrier generated release notes. (#55)

Deprecations and Removals

• Breaking change: Removed existing condition method and deprected predict method. (#32)